Speedscale
speedscale.comValidate AI-generated code with real production traffic before merge.
Dev Toolskubernetesapi-testingtraffic-replayai-code-validationci-cdobservabilityregression-testing
About
Speedscale captures full request and response payloads from production Kubernetes environments and replays them deterministically in sandboxes to reproduce bugs. It integrates with AI coding agents like Claude Code, Cursor, and Codex via MCP, giving them real production context to diagnose and fix regressions. Pull requests include before/after payload diffs so teams can validate fixes before merging.
Problem
AI coding agents introduce bugs faster than teams can triage them, and production failures are often impossible to reproduce in staging due to missing payload context.
For
Platform engineers and development teams shipping AI-assisted code on Kubernetes
How it works
Speedscale captures full production traffic payloads, replays them in disposable sandboxes against code changes in CI, and exposes the reproduction context to AI coding agents via MCP for debugging and fix validation.
Business model
freemium
Status
launched
Company
Speedscale